@article {69948, title = {Accelerating Neuron Reconstruction with PATHFINDER}, journal = {bioRxiv}, year = {2025}, month = {2025 May 21}, abstract = {

Comprehensive mapping of neural connections is essential for understanding brain function. Existing automated methods for connectome reconstruction from high-resolution images of brain tissue introduce errors that require extensive and time-consuming manual correction, a critical bottleneck in the field. To address this, we developed PATHFINDER, an AI system that segments volumetric image data, identifies potential ways to assemble neuron fragments, and evaluates the plausibility of resulting shapes to reconstruct complete neurons. Using a dataset of all axons in an IBEAM-mSEM volume of mouse cortex, we show that PATHFINDER reduces the error rate in axon reconstruction by an order of magnitude over previous state of the art, leading to an improvement in proofreading throughput of up to 84{\texttimes} relative to prior estimates in the context of a whole mouse brain. By drastically reducing the manual effort required for analysis, this advance unlocks the potential for both large-scale connectome mapping and routine investigation of smaller volumes.

}, doi = {10.1101/2025.05.16.654254}, url = {https://www.biorxiv.org/content/early/2025/05/21/2025.05.16.654254}, author = {Januszewski, Micha{\l} and Templier, Thomas and Hayworth, Kenneth Jeffrey and Peale, David and Hess, Harald} } @article {65281, title = {Correlative three-dimensional super-resolution and block-face electron microscopy of whole vitreously frozen cells.}, journal = {Science}, volume = {367}, year = {2020}, month = {2020 Jan 17}, abstract = {

Within cells, the spatial compartmentalization of thousands of distinct proteins serves a multitude of diverse biochemical needs. Correlative super-resolution (SR) fluorescence and electron microscopy (EM) can elucidate protein spatial relationships to global ultrastructure, but has suffered from tradeoffs of structure preservation, fluorescence retention, resolution, and field of view. We developed a platform for three-dimensional cryogenic SR and focused ion beam-milled block-face EM across entire vitreously frozen cells. The approach preserves ultrastructure while enabling independent SR and EM workflow optimization. We discovered unexpected protein-ultrastructure relationships in mammalian cells including intranuclear vesicles containing endoplasmic reticulum-associated proteins, web-like adhesions between cultured neurons, and chromatin domains subclassified on the basis of transcriptional activity. Our findings illustrate the value of a comprehensive multimodal view of ultrastructural variability across whole cells.

}, issn = {1095-9203}, doi = {10.1126/science.aaz5357}, author = {Hoffman, David P and Shtengel, Gleb and Xu, C Shan and Campbell, Kirby R and Freeman, Melanie and Wang, Lei and Milkie, Daniel E and Pasolli, H Amalia and Iyer, Nirmala and Bogovic, John A and Stabley, Daniel R and Shirinifard, Abbas and Pang, Song and Peale, David and Schaefer, Kathy and Pomp, Wim and Chang, Chi-Lun and Lippincott-Schwartz, Jennifer and Kirchhausen, Tom and Solecki, David J and Betzig, Eric and Hess, Harald F} } @article {65224, title = {Gas cluster ion beam SEM for imaging of large tissue samples with 10 nm isotropic resolution.}, journal = {Nature Methods}, volume = {17}, year = {2019}, month = {2020 Jan 01}, pages = {68-71}, abstract = {

We demonstrate gas cluster ion beam scanning electron microscopy (SEM), in which wide-area ion milling is performed on a series of thick tissue sections. This three-dimensional electron microscopy technique acquires datasets with \<10 nm isotropic resolution of each section, and these can then be stitched together to span the sectioned volume. Incorporating gas cluster ion beam SEM into existing single-beam and multibeam SEM workflows should be straightforward, increasing reliability while improving z resolution by a factor of three or more.

}, issn = {1548-7105}, doi = {10.1038/s41592-019-0641-2}, author = {Hayworth, Kenneth J and Peale, David and Januszewski, Micha{\l} and Knott, Graham W and Lu, Zhiyuan and Xu, C Shan and Hess, Harald F} }